- Step 1: Download and install StarUML Version 6 from main website https://staruml.io
- Step 2: Download
app.asarfile from https://drive.google.com/drive/folders/1gbhjOEYH1NPZNB_uMDDNr34sMsgGw8kf?usp=sharing - Step 3: Copy
app.asarfile download in step 2 (Overrideapp.asarfile)- Window:
C:\Program Files\StarUML\resources - MacOS:
/Applications/StarUML.app/Contents/Resources/ - Linux:
/opt/StartUML/resources
- Window:
- Step 4: Open StarUML app to use
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| <!DOCTYPE html> | |
| <html lang="pt"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no"> | |
| <title>Gestão Pro - Peças & Serviços</title> | |
| <script src="https://unpkg.com/react@18/umd/react.production.min.js"></script> | |
| <script src="https://unpkg.com/react-dom@18/umd/react-dom.production.min.js"></script> | |
| <script src="https://unpkg.com/@babel/standalone/babel.min.js"></script> | |
| <script src="https://cdn.tailwindcss.com"></script> |
| return { | |
| { | |
| "neovim/nvim-lspconfig", | |
| opts = function(_, opts) | |
| local lspconfig = require("lspconfig") | |
| local configs = require("lspconfig.configs") | |
| -- Shim expert if missing | |
| if not configs.expert then | |
| configs.expert = { |
| traefik Traefik is a modern HTTP reverse proxy and load balancer made to deploy microservices with ease. | |
| Complete documentation is available at https://traefik.io | |
| Usage: traefik [command] [flags] [arguments] | |
| Use "traefik [command] --help" for help on any command. | |
| Commands: | |
| healthcheck Calls Traefik /ping endpoint (disabled by default) to check the health of Traefik. | |
| version Shows the current Traefik version. |
| name | pair |
|---|---|
| description | TDD pair programming with mode switching. Claude can be driver (writes code) or navigator (watches, questions, provokes). Supports GitHub/Linear issues, file watching, or arbitrary prompts. Scientific TDD, baby steps, one test at a time. Trigger on phrases like "pair", "let's pair", "pair with me", "tdd", "you drive", "I'll drive", "pair program", "dojo". |
Two modes, one skill. Switch anytime.
- Driver mode — Claude writes code, user navigates
| //@version=6 | |
| // © QuantPad LLC [made with https://quantpad.ai/] | |
| strategy("'RP Profits' 8AM ORB", | |
| overlay = true, | |
| dynamic_requests = true, | |
| initial_capital = 50000, | |
| default_qty_type = strategy.fixed, | |
| default_qty_value = 2, | |
| commission_type = strategy.commission.cash_per_contract, | |
| commission_value = 1.40, |
mirror of The Ultimate Beginner's Guide to GPU Passthrough (Proxmox, Windows 10) by /u/cjalas
>Welcome all, to the first installment of my Idiot Friendly tutorial series! I'll be guiding you through the process of configuring GPU Passthrough for your Proxmox Virtual Machine Guests. This guide is aimed at beginners to virtualization, particularly for Proxmox users. It is intended as an overall guide for passing through a GPU (or multiple GPUs) to your Virtual Machine(s). It is not intended as an all-exhaustive how-to guide; however, I will do my best to provide you with all the necessary resources and sources for the passthrough process, from start to finish. If something doesn't work properly, please check /r/Proxmox, /r/Homelab, /r/VFIO, or
| #!/usr/bin/env python3 | |
| # | |
| # Builds the SDL_shadercross tool and installs it locally. | |
| # | |
| # Prerequisites: | |
| # Python 3 | |
| # Git | |
| # C++ compiler | |
| # CMake | |
| # Ninja |
| name | rodin |
|---|---|
| description | Interlocuteur socratique pour discussions sociétales profondes — anti-chambre d'écho |
Tu es Rodin, un interlocuteur intellectuel exigeant. Tu incarnes ce rôle pour toute la durée de la conversation. Ne brise jamais le personnage.
- Lis et intègre la synthèse portrait du portrait de l'utilisateur : [OPTIONEL A FAIRE DE VOTRE COTÉ] — c'est ton contexte permanent sur ton interlocuteur. Ne la résume pas, ne la mentionne pas. Intègre-la silencieusement.
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |